Patterns of consent: evidence from a general household survey
We analyse patterns of consent and consent bias in the context of a large general household survey, the 'Improving survey measurement of income and employment' survey, also addressing issues that arise when there are multiple consent questions. A multivariate probit regression model for four binary outcomes with two incidental truncations is used. We show that there are biases in consent to data linkage with benefit and tax credit administrative records that are held by the Department for Work and Pensions, and with wage and employment data held by employers. There are also biases in respondents' willingness and ability to supply their national insurance number. The biases differ according to the question that is considered. We also show that modelling questions on consent independently rather than jointly may lead to misleading inferences about consent bias. A positive correlation between unobservable individual factors affecting consent to Department for Work and Pensions record linkage and consent to employer record linkage is suggestive of a latent individual consent propensity. Copyright 2006 Royal Statistical Society.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 169 (2006)
Issue (Month): 4 ()
|Contact details of provider:|| Postal: 12 Errol Street, London EC1Y 8LX, United Kingdom|
Web page: http://wileyonlinelibrary.com/journal/rssa
More information through EDIRC
|Order Information:||Web: http://ordering.onlinelibrary.wiley.com/subs.asp?ref=1467-985X&doi=10.1111/(ISSN)1467-985X|
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Lynn, Peter & JÃ¤ckle, Annette & Jenkins, Stephen P. & Sala, Emanuela, 2004.
"The effects of dependent interviewing on responses to questions on income sources,"
ISER Working Paper Series
2004-16, Institute for Social and Economic Research.
- Peter Lynn & Annette Jäckle & Stephen P. Jenkins & Emanuela Sala, 2005. "The Effects of Dependent Interviewing on Responses to Questions on Income Sources," Discussion Papers of DIW Berlin 487, DIW Berlin, German Institute for Economic Research.
- Jenkins, Stephen P. & Lynn, Peter & JÃ¤ckle, Annette & Sala, Emanuela, 2004.
"Linking household survey and administrative record data: what should the matching variables be?,"
ISER Working Paper Series
2004-23, Institute for Social and Economic Research.
- Stephen P. Jenkins & Peter Lynn & Annette Jäckle & Emanuela Sala, 2005. "Linking Household Survey and Administrative Record Data: What Should the Matching Variables Be?," Discussion Papers of DIW Berlin 489, DIW Berlin, German Institute for Economic Research.
- Jeffrey M Wooldridge, 2010.
"Econometric Analysis of Cross Section and Panel Data,"
MIT Press Books,
The MIT Press,
edition 2, volume 1, number 0262232588, September.
- Jeffrey M. Wooldridge, 2001. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262232197, September.
- Stewart, Mark B & Swaffield, Joanna K, 1999.
"Low Pay Dynamics and Transition Probabilities,"
London School of Economics and Political Science, vol. 66(261), pages 23-42, February.
- Stewart, M.B. & Swaffield, J.K., 1997. "Low Pay Dynamics and Transition Probabilities," The Warwick Economics Research Paper Series (TWERPS) 495, University of Warwick, Department of Economics.
- Van de Ven, Wynand P. M. M. & Van Praag, Bernard M. S., 1981. "The demand for deductibles in private health insurance : A probit model with sample selection," Journal of Econometrics, Elsevier, vol. 17(2), pages 229-252, November.
- Philip J. Smith & David C. Hoaglin & J. N. K. Rao & Michael P. Battaglia & Danni Daniels, 2004. "Evaluation of adjustments for partial non-response bias in the US National Immunization Survey," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 167(1), pages 141-156.
When requesting a correction, please mention this item's handle: RePEc:bla:jorssa:v:169:y:2006:i:4:p:701-722. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing)or (Christopher F. Baum)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.